This is a fully remote position, open to applicants in Brazil.

• Create effective schemas for analytical queries to ensure optimal performance and data integrity;

• Implement frameworks that uphold data governance and compliance, guaranteeing quality, integrity, and security;

• Work collaboratively with stakeholders to ascertain business requirements and convert them into technical solutions;

• Enhance data pipelines to expedite reporting and merge diverse sources for generating strategic insights;

• Connect various services and APIs to develop comprehensive data solutions;

• Proficient in English (C1/C2);

• Bachelor's degree in Computer Science, Data Engineering, or a relevant discipline;

• Demonstrated experience in building and maintaining data pipelines utilizing Python;

• Strong advanced SQL expertise (joins, window functions, CTEs, aggregations, query optimization);

• In-depth understanding of Data Warehouse concepts and dimensional modeling (fact/dimension);

• Experience with a variety of data formats (JSON, CSV, Avro, Parquet, XML) and integrating diverse sources (APIs, databases, files, streams);

• Knowledge of data quality practices, lineage, governance, automated testing, and performance monitoring;

• Familiarity with data discovery and cataloging tools (Amundsen or similar);

• Experience in data modeling for reports and dashboards (Power BI or similar);

• Proficient in DBT (Data Build Tool);

• Experience with Apache Airflow or other orchestration frameworks;

• Multi-benefit card – choose how and where to utilize it.

• Education scholarships for undergraduate, postgraduate, MBA, and language courses.

• Incentive programs for certifications.

• Flexible working hours.

• Competitive salary packages.

• Annual performance evaluations with a structured career development pathway.

• Opportunities for international careers.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare support.

• Health insurance coverage.

• Dental insurance benefits.

• Life insurance protection.

Data Analyst, II

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